Data Engineer, Lead
$99,000–$225,000 year
On-siteHerndon, Virginia, United States
Job Summary
Oversee the development and deployment of pipelines and platforms that organize disparate data for mission-driven projects ranging from fraud detection to national intelligence. Guide a multi-disciplinary team of analysts, engineers, and developers in agile environments by establishing execution plans, assessing critical paths, and pivoting resources as delivery needs evolve. Mentor staff while translating technical priorities, risks, and dependencies to client and executive stakeholders. Requires TS/SCI clearance with polygraph and 7+ years leading enterprise software development. Salary ranges from $99,000 to $225,000 annually.
Required Qualifications
- 7+ years of experience leading software application development in an enterprise environment
- 7+ years of experience designing, developing, operationalizing, and maintaining complex, distributed data applications at scale
- 5+ years of experience retrieving, parsing, and processing structured and unstructured data
- 5+ years of experience developing scalable ETL pipelines or workflows for analytics or reporting
- Ability to supervise technical staff, such as technical leads, engineers, and testers, and lead projects in a collaborative, cross-functional environment, including assessing the critical path, aligning team capacity to priorities, and pivoting resources as delivery needs evolve
- Ability to translate and brief technical information, priorities, risks, dependencies, and critical-path impacts to larger client, executive, and stakeholder audiences
- TS/SCI clearance with a polygraph
- Bachelor's degree
- Ability to obtain Security+ CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of hire
Desired Qualifications
- 10+ years of experience using Python or Java
- 5+ years of experience with AWS services and cloud-native architectures
- 5+ years of experience with Docker, Kubernetes, Helm, container orchestration, and CI/CD workflows
- 5+ years of experience with Apache NiFi and Kafka for real-time data ingestion and streaming
- 5+ years of experience with working on real-time data and streaming applications
- 5+ years of experience with Linux or UNIX, including shell scripting and operational troubleshooting
- Experience developing applications and administering non-relational databases, such as MongoDB
- Experience improving or establishing enterprise-level CM pipelines, version control discipline, and release management hygiene
- Possession of strong communication skills
- AWS Certified Solutions Architect, Developer, or SysOps Associate Certification
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